Using the discussion question please reply to the response that follow
Discussion Question
Now, imagine you are the CEO of a large hospital. You are interested in reducing the turnover among nurses. You wish to understand the reasons for leaving their jobs on a more personal, open, and in-depth manner. You plan a phenomenological study to obtain the lived experiences of a small sample of participants who recently left the hospital. What qualitative sources of data and data analysis approaches are aligned and ideal for use in such a study? Explain. What sources of data and data analysis approaches are not aligned and ideal for such a study? Why?
RESPONSE
The purpose of a phenomenological study is to understand a phenomenon by describing and interpreting the experiences of individuals. In a descriptive phenomenology approach, the researcher remains close to the data collected and describes the basics of the phenomenon rather than interpreting it. Alternatively, an interpretative phenomenology approach emphasizes the interpretation of the phenomenon (Greenberg et al., 2021). In this scenario, the appropriate approach would be to implement a descriptive phenomenological method to understand the reasons for nurse turnover. The data sources and data analysis supports for the use of a descriptive phenomenological study are interviews and an inductive coding approach. A descriptive phenomenological method would provide the researcher with a description of what the reasons are for turnover after analyzing interview transcripts and coding to identify themes. The researcher would use inductive reasoning, as it is appropriate for the data in this case to drive the study. Examples of sources of data and data analysis approaches that are not ideal for this type of study include the use of observations and using a deductive coding approach to analyze the data. Data collected observing nurses in the work setting would not produce data suitable for answering the research question. Using a deductive coding approach would not be correct as the researcher is not attempting to understand a specific concept for nurse turnover rates.
References
Greenberg, S., Maul, J., Walker, N., McClendon, C. (2021). Overview of Qualitative Designs. In Grand Canyon University (Ed.), GCU doctoral research: Foundational principles of research design. https://lc.gcumedia.com/webbooks/gcu-doctoral-research-foundational-principles-of-research-design/v1.1/#/chapter/3